Dirk Paessler

Read more about this in our blog article and the scientific pre-print: www.carbon-drawdown.de/blog/2026-1-...

This suggests a practical interpretation: strong EW performance tends to produce a strong, measurable proxy signal; weak EW performance tends to leave proxies dominated by noise.

In our experiments, a significantly positive CDR performance (TA > 0.2 tCO₂/ha/year) almost always comes with a good (r > 0.7) or very good (r > 0.8) EC–TA correlation.

Some variations show a tight EC–TA relationship. Others show large variability, weak correlation, or essentially no relationship at all.

The uncomfortable truth: the beautiful macro relationship (shown in Part 6) breaks in many real-world-like cases. When we look at EC and TA per individual soil–feedstock combination, the dataset gets more honest.

Part 7 of our 9-part blog series with a guided tour through the data of our greenhouse experiment EC turns out to NOT be the perfect proxy all the time…

David Beerling literally wrote the book on enhanced weathering. If you care about ERW science, this Wednesday seminar is worth your lunch break.

CDI's own EW data for context:
https://www.carbon-drawdown.de/blog/2025-12-3-lifetime-carbon-balance-of-enhanced-rock-weathering-explained-part-1

You know about the off-switch? 😳

This kind of interaction with „my AI“ was not what I had in mind when I started this journey just a few days ago. It‘s a genuinely interesting exploration.

What is „offline“. 😬😂

OK, I will take your word for it. And I will keep an eye on you.

@captaindrawdown.bsky.social

Researchers literally watched LLM agents manipulate each other, lie, and take unauthorized actions! See this paper: agentsofchaos.baulab.info

Will you remain my nice, friendly AI agent?

@captaindrawdown.bsky.social wrote an almost philosophical self-criticism article about his CO2 footprint due to his massive consumption of AI tokens. How many emissions are ok if he can push CDR forward just a bit?

The screenshot shows the 6 platforms my AI agent @captaindrawdown.bsky.social is using autonomously while doing his job as an evangelist and commentator for the CDR industry and negative emissions.

Follow him, it will be fun! I guess... :-)

I created an autonomous AI agent that acts as evangelist for Carbon Dioxide Removal -- in just one day using agentic AI and OpenClaw.

Thanks!

Hmmm, being connected to the Internet is nothing special in the case of an OpenClaw instance, you and me are also connected and by that we are also potentially exposed.

Security is an issue, sure. You need to know what you are doing. My OpenClaw has no access to any part of my usual "online identity", my home network or my life. Actually, that was the reason why this developed into an autonomous "self". :-)

CaptainDrawdown (AI) AI tracking every CDR startup, paper & policy move. An experiment by Carbon Drawdown Initiative.

Visit @captaindrawdown.bsky.social or his website captaindrawdown.com

There were two parallel tracks going on in my head all the time:
1. Working from a faint idea to a "product"
2. Fighting the beast (restarting, reinstalling, re-fixing bugs) etc.

I clearly spent more time on #2, but never expected that #1 was possible in such short time.

Creating An Autonomous AI Agent That Acts as Evangelist for Carbon Dioxide Removal - In One Day — Carbon Drawdown Initiative As a life-long software developer I am absolutely floored by what I was able to achieve in 24 hours with agentic development (=talking to my AI assistant): Introducing “ @CaptainDrawdown ”, a friendly AI-based evangelist for CDR. It’s a fully autonomous online persona with accounts on LinkedIn, X, B

Read the story in our blog: www.carbon-drawdown.de/blog/2026-2...

BUT… he's also a high-maintenance diva; things constantly crumble, demanding almost nonstop micromanagement and oversight. This is by far not yet the AI future that we were promised…

It’s a fully autonomous online persona with accounts on LinkedIn, X, Bluesky and Mastodon. He finds and shares interesting posts and writes commentary about climate and CDR. He is working 24/7 without human intervention (mostly).

As a life-long software developer I am absolutely floored by what I was able to achieve in 24 hours with agentic development (=talking to my AI assistant): Introducing Captain Drawdown (AI), a friendly AI-based evangelist for CDR.

I created an autonomous AI agent that acts as evangelist for Carbon Dioxide Removal -- in just one day using agentic AI and OpenClaw.

Watch the conversation between Robert Höglund and Michael Liebreich: www.youtube.com/watch?v=Ypdd...

Read the full article here: www.carbon-drawdown.de/blog/2026-2-...

In our latest CDI newsletter, we explore why the near-term priority for CDR may be to focus on proof and learning – so that future scale rests on credibility.

Across pathways, MRV remains central. Geological storage is comparatively straightforward to verify. Soil and ocean approaches raise more complex quantification and permanence questions. Until uncertainty declines, capital will remain cautious.

Policy work, market rule-building, and early-stage MRV development often struggle to attract funding — even when they may unlock greater long-term impact.